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of 52
pro vyhledávání: '"Kar, Swarnendu"'
In this paper, we aim to design the optimal sensor collaboration strategy for the estimation of time-varying parameters, where collaboration refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center.
Externí odkaz:
http://arxiv.org/abs/1603.03448
In the context of distributed estimation, we consider the problem of sensor collaboration, which refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center. While incorporating the cost of sensor colla
Externí odkaz:
http://arxiv.org/abs/1408.6566
Autor:
Kar, Swarnendu, Varshney, Pramod K.
We consider a wireless sensor network consisting of multiple nodes that are coordinated by a fusion center (FC) in order to estimate a common signal of interest. In addition to being coordinated, the sensors are also able to collaborate, i.e., share
Externí odkaz:
http://arxiv.org/abs/1210.1624
Autor:
Kar, Swarnendu, Varshney, Pramod K.
A power constrained sensor network that consists of multiple sensor nodes and a fusion center (FC) is considered, where the goal is to estimate a random parameter of interest. In contrast to the distributed framework, the sensor nodes may be partiall
Externí odkaz:
http://arxiv.org/abs/1207.0032
Designing resource allocation strategies for power constrained sensor network in the presence of correlated data often gives rise to intractable problem formulations. In such situations, applying well-known strategies derived from conditional-indepen
Externí odkaz:
http://arxiv.org/abs/1205.6925
Autor:
Kar, Swarnendu, Varshney, Pramod K.
Publikováno v:
IEEE Transactions on Instrumentation and Measurement, vol.60, no.4, pp.1197-1205, April 2011
Information about the strength of gas sources in buildings has a number of applications in the area of building automation and control, including temperature and ventilation control, fire detection and security systems. Here, we consider the problem
Externí odkaz:
http://arxiv.org/abs/1205.6919
We consider the design of identical one-bit probabilistic quantizers for distributed estimation in sensor networks. We assume the parameter-range to be finite and known and use the maximum Cram\'er-Rao Lower Bound (CRB) over the parameter-range as ou
Externí odkaz:
http://arxiv.org/abs/1205.6907
We seek to characterize the estimation performance of a sensor network where the individual sensors exhibit the phenomenon of drift, i.e., a gradual change of the bias. Though estimation in the presence of random errors has been extensively studied i
Externí odkaz:
http://arxiv.org/abs/1205.6903
Autor:
Kar, Swarnendu, Varshney, Pramod K.
We consider a power-constrained sensor network, consisting of multiple sensor nodes and a fusion center (FC), that is deployed for the purpose of estimating a common random parameter of interest. In contrast to the distributed framework, the sensor n
Externí odkaz:
http://arxiv.org/abs/1205.3286
Among the various procedures used to detect potential changes in a stochastic process the moving sum algorithms are very popular due to their intuitive appeal and good statistical performance. One of the important design parameters of a change detect
Externí odkaz:
http://arxiv.org/abs/0908.2954